
Articles
Empowering engineers with everything they need to build, monitor, and scale real-time data pipelines with confidence.

KIP-1150 Diskless Topics: Rethinking Storage and Cloud Costs in Kafka
Discover how Kafka's KIP-1150 Diskless Topics aim to bring cloud-native scalability and cost-efficiency by natively utilizing object storage, and what it means for your streaming architecture.

Operational Transparency: Real-Time Audit Trail Integrated with Webhooks
Operating Kafka without a transparent audit trail creates a critical "Governance Gap", leaving teams blind to administrative changes and vulnerable during incidents. This guide demonstrates how to replace opaque log parsing and restrictive bureaucracy with automated governance by streaming Kpow's real-time audit log via webhooks directly into communication tools like Slack.

KIP-932 Queues for Kafka: Bridging the Gap Between Streaming and Messaging
Discover how Kafka's KIP-932 Share Groups bring native queue semantics to your event streaming architecture, and the new complexities engineers must manage.

Beyond JMX: Supercharging Grafana Dashboards with High-Fidelity Metrics
Move beyond raw JMX noise and unlock business-relevant observability for your Kafka environment. This guide explores how to feed high-fidelity, pre-calculated metrics, such as consumer group lag in seconds, directly from Kpow into your Grafana dashboards for proactive capacity planning and incident response.

Was die Übernahme von Confluent durch IBM für Kafka-Nutzer bedeutet
IBM hat die Übernahme von Confluent abgeschlossen. Wir untersuchen, was diese Übernahme für Teams bedeutet, die Kafka im Produktivbetrieb einsetzen, wo die tatsächlichen Risiken einer Anbieterabhängigkeit liegen und wie Sie Ihr Risiko einschätzen können.

Factor House expandiert nach Europa
Factor House ist offiziell in Europa angekommen. Erfahren Sie mehr über unsere neuesten strategischen Einstellungen und wie wir die nächste Ära des Streaming-Datenmanagements für Enterprise-Engineering-Teams vorantreiben.
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